Stock assessment using length–based Bayesian evaluation method for Trichiurus lepturus in the East China Sea

Fishery resources assessment is the basis of scientific management and sustainable development fisheries. Trichiurus lepturus , one major commercial fishes in East China Sea, great significance to study its stocks status. Based on length frequency data T. collected Sea from 2016 2020, we estimated asymptotic length, optimal at first capture, relative mortality, biomass stock using length–based Bayesian estimation (LBB). The analysis shows a high exploitation rate low suggesting that has been overfished currently under heavy fishing pressure. Although number vessels decreased by 29% horsepower only 9%, indicating pressure fishery still high. To recover stock, consider reduction intensity enforcing size–at–first–capture regulations be imperative. In addition reducing boats horsepower, it essential increase escape proportion juvenile fish increasing mesh size, reduce catch. result this can provide informative reference for data–limited conditions.